cc_11.py

powerplay_df = df[df['over_number']<=5.6]
middle_df = df[(df['over_number']>=6.1) & (df['over_number']<=14.6)]
last_df = df[(df['over_number']>=15.1) & (df['over_number']<=19.6)]

powerplay_batting_df = powerplay_df[powerplay_df['batting_team']=='ind']
middle_batting_df = middle_df[middle_df['batting_team']=='ind']
last_batting_df = last_df[last_df['batting_team']=='ind']

sr1=(np.sum(powerplay_batting_df['runs'].values)/powerplay_batting_df.shape[0])*100
sr2=(np.sum(middle_batting_df['runs'].values)/middle_batting_df.shape[0])*100
sr3=(np.sum(last_batting_df['runs'].values)/last_batting_df.shape[0])*100

#plot
data = {"Strike rate":[sr1,sr2,sr3]
        };

index  = ["Powerplay", "Middle", "Last 5 overs"];

# Dictionary loaded into a DataFrame       
dataFrame = pd.DataFrame(data=data, index=index);

# Draw a vertical bar chart
axes = dataFrame.plot.bar(rot=0, title="Team India Batting Strike (Overs wise)").get_figure()